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Physical inactivity is a global public health challenge. At the same time, the societal transformation toward a sustainable and active lifestyle can be observed. Active travel (AT) is one physical activity (PA) domain and combines healthy and sustainable daily behavior. However, it is still unclear whether assumed associations between AT and health are resilient for objective and subjective health outcomes. Since published research on AT has been growing during the last decade, this scoping review aimed to update and summarize the existing evidence. Therefore, a scoping review was conducted in PubMed, Web of Science, ScienceDirect, and Cochrane Library, following PRISMA guidelines. In all, 35 papers including 4,857,918 individuals (age range: 18–93 years old) were included. AT is strongly associated with health dimensions with a great body of knowledge showing strong associations between AT and reduced risks for noncommunicable diseases (NCD), especially in comparison to non-AT. Thus, AT can play an important role to prevent the increasing prevalence of NCD. There is a limited amount of research available on health-promoting factors and subjective health. Extracted studies suggest positive connections with AT. Mostly, cycling as a form of AT seems to have a more significant positive association with health compared to walking. Longitudinal studies further support and reinforce these findings. [ABSTRACT FROM AUTHOR]

As urban tourism increases, digital signage landmarks are frequently utilized to develop and enhance the attractiveness of cities for tourism. However, the benefits of this development for local residents have not been fully explored from a sustainability perspective. Thus, this study aims to quantitatively analyze local residents' perceptions of digital signage landmarks in urban areas using one of the prominent icons, the Samseong-dong free display zone in Seoul, Korea. To measure the overall value of the landmarks, this study used a double-bounded dichotomous choice contingent valuation method and spike model. Based on the surveys of 600 respondents in Korea, the results show that a household's willingness to pay to support the landmark annually is KRW 5401 (USD 4) on average in the form of income tax. The perceived annual value for the landmark is about KRW 790 million (USD 60 million), surpassing that of typical tourism attractions in Korea. [ABSTRACT FROM AUTHOR]

Background: Cannabidiol (CBD) is one of the main cannabinoids present in the cannabis plant. The demand for CBD grew over time with more individuals consuming CBD products due to its potential therapeutic properties. Objectives: To assess the knowledge and perceptions of Maltese members of the public and health care professionals (HCPs) about CBD, one of the main cannabinoids present in the cannabis plant. Methods: Surveys aiming to assess the knowledge and perception of the public and HCPs about CBD were developed, validated and disseminated. Results: Four hundred members of the public and 150 HCPs completed questionnaires. Ninety-six percent of participants (n=384) agreed that CBD has a therapeutic effect. Respondents from the general public were mostly knowledgeable about CBD and its use, had positive perceptions in relation to CBD and like HCPs, feel more comfortable if CBD is recommended by HCPs. HCPs were not so knowledgeable about certain aspects on CBD. One hundred and twelve HCPs were not aware that there is only one FDA/EMA approved CBD-based product. HCPs would feel comfortable in prescribing CBD products for pain and insomnia and the majority of them (55%; n=83) believe that CBD has mostly an analgesic effect. Social stigma associated with the use of CBD and potential judgement of HCPs were barriers to CBD use. Conclusion: Increased research, knowledge and availability of prescribing information and guidelines related CBD use might lead to an increased willingness of HCPs to recommend CBD and lead to a decrease in potential barriers associated with its use. [ABSTRACT FROM AUTHOR]

The problem of traffic assignment consists of determining the routes taken by the users of transportation infrastructure. This problem has been the subject of numerous studies, particularly in analyzing scenarios for developing road infrastructure and pricing strategies. This paper reviews the major progress in the field. Accordingly, it shows that the evolution of intelligent transportation systems and the emergence of connected and autonomous vehicles present new challenges to classical approaches for solving the traffic assignment problem. It addresses two major perspectives: digital twins coupled with artificial intelligence to help decision-makers, and rule-based policy to offer users fair and efficient itineraries while respecting infrastructure capacity. [ABSTRACT FROM AUTHOR]

Sustainable development, urban planning, mobility, and transport planning, integrated within the context of sustainable urban mobility, have been central themes in both scientific and applied spheres over the past few decades. In port cities, it becomes particularly essential to tackle sustainability issues given the pollution and noise emanating from ships and other port-related activities. To meet mobility and transportation sustainability needs in the port area, a port should implement measures aligned with a sustainable urban mobility planning (SUMP) approach. However, many ports have thus far achieved limited results in this direction due to the absence of an approach to defining sustainable mobility solutions based on the SUMP approach for an urban area associated with the given port. The overall aim of this paper is to support the development of territorial SUMP for port areas by proposing a methodology that identifies and prioritizes sustainable mobility solutions tailored to a specific port area. The proposed methodology is applied in the Port of Bar (Montenegro) through an appropriate case study. In this case study, the methodological steps are systematically followed, resulting in the practical implementation of the selected mobility solution: the use of a hybrid bus for internal employee transportation within the port area. The undertaken case study underscores the simplicity, practical applicability, and adaptability of the proposed methodology. [ABSTRACT FROM AUTHOR]

The construction of the Suramadu bridge, the longest bridge in Indonesia connecting the islands of Java and Madura, aimed to stimulate regional economic growth in Madura and reduce disparity. However, 13 years after the construction, significant economic progress in Madura has yet to be seen. This study examines the impact of the bridge construction on the economic growth of Bangkalan, a Madura Island district closest to the bridge from 2010 to 2017. This study employed the synthetic control method (SCM) to construct a synthetic control unit that mimics Bangkalan's economic growth trajectory in the absence of the Suramadu bridge. The SCM allows for comparison of Bangkalan's economic growth trajectory with its synthetic control unit post the Suramadu bridge operation. The finding indicates that the Suramadu bridge provision lower the economic growth in Bangkalan. The finding underscores the imperative for careful infrastructure planning to yield optimal returns. Moreover, it advocates for a holistic approach wherein hard infrastructure initiatives are complemented by investments in soft infrastructure, particularly in education and healthcare sectors. Such integrated strategies are essential for realizing the full potential of infrastructure projects in driving sustainable economic growth. Impact Statement: This study examines the causal impact of infrastructure provision on regional economic growth in Indonesia. This research question is crucial for many developing countries like Indonesia, where public infrastructure is primarily funded through aid and public debt. The analysis indicates that infrastructure provision has, in fact, led to lower economic growth, challenging many previous studies that identify a positive impact of infrastructure development. This finding underscores the importance of effective infrastructure planning and suggests the necessity of complementary public investments to fully realize the potential benefits of infrastructure provision. [ABSTRACT FROM AUTHOR]

This paper aims to understand better how attitudes towards the environment could influence preferences and willingness to pay for the development of sustainable tourism products on the Spanish island of Gran Canaria. A hybrid choice model is estimated to analyse how different latent constructs related to environmental concerns affect individuals' preferences for a set of sustainable tourism activities. The data used in the analysis are obtained from a discrete choice experiment where different scenarios with nature-based tourism packages are created. A set of measurement indicators allowed us to gain insight into the underlying latent structure regarding the individuals' attitudes towards the environment. The analysis consists of integrating these attitudes into a choice model, focusing on a market segment primarily composed of potential customers who are young residents and non-residents. The results reveal significant heterogeneity in preferences and willingness to pay for the various activities under study when attitudinal latent factors are incorporated into the model. Our findings provide valuable insights for researchers, policymakers, and practitioners promoting sustainable tourism products. [ABSTRACT FROM AUTHOR]

Carsharing contributes to sustainable urban mobility by reducing private car ownership and use. Thus, policy-makers and planners need to know how cities can foster carsharing and the related benefits. Decentralized mobility hubs are an emerging approach to supporting carsharing. These hubs provide designated carsharing parking spots in the public street spaces of urban residential neighborhoods. The objective is to embed carsharing services into the immediate residential environments of urban households. Thus, the hubs are intended to make carsharing more accessible, reliable, and convenient. However, there is a lack of empirical insights into the impact of decentralized mobility hubs on carsharing. This research uses survey data on carsharing users in the inner city of Hamburg, Germany, to appreciate the actual effects of such hubs on car ownership, transport mode usage, and the perception of carsharing. Decentralized mobility hubs have existed in several high-density residential neighborhoods in Hamburg since 2017. Our findings suggest that the use of these hubs leads to a substantially more positive perception of carsharing and, as a consequence, to a greater willingness of carsharing users to forgo car ownership. Ultimately, by supporting the reduction of private car ownership, the hubs promote not only carsharing, but also the use of other sustainable modes of transportation. [ABSTRACT FROM AUTHOR]

Occupant behavior is among the main causes for the mismatch between simulated and in-use energy performance of buildings. One of the strategies considered capable of reducing user's behavior induced energy consumption, while increasing indoor environmental quality is the application of Building Automation and Control Systems (BACS). In this study, three building user's profiles have been considered depending on their energy consumption. The energy savings due to BACS class increase have been calculated, and a cost–benefit analysis (CBA) has been performed to evaluate the feasibility of different scenarios. Additional co-benefits perceived by the individuals have been accounted for in the form of willingness-to-pay (WTP). The methodology is applied to two case studies: a nearly zero-energy building (NZEB) rural single-family house and a recently renovated dwelling in an apartment block. The results show that the main reductions are achieved by the users' behavior alone, and the adoption of BACS is economically feasible only when an incentive program is in place, and the WTP is repeated as a recurrent co-benefit over the years. In particular, relying only on energy reduction due to higher BACS class introduction is not economically desirable. The greatest savings are achieved by the behavioral change of the user when coupled with BACS, supporting their potential role in improving user's energy literacy. Finally, incentive schemes are necessary to reduce the investment costs of such projects, being these the most influential variables in the feasibility of BACS applications. [ABSTRACT FROM AUTHOR]

Environmental issues have reached global attention from both political and social perspectives. Many countries and companies around the world are adopting measures to help change current trends. Awareness of decarbonization in the transportation sector has led to an increasing development of energy storage systems in recent years, especially for ground vehicles. Batteries, due to their high efficiency, are one of the most attractive energy storage systems for vehicle propulsion. As for road vehicles, the growing interest in Electric Vehicles (EVs) is motivated by the fact that they reduce local emissions compared to traditional Internal Combustion Engine (ICE) vehicles. The purpose of the paper is to present a study on how to plan and implement vehicle charging infrastructure on motorways. In particular, a specific road in Italy is analyzed: the motorway A1 from Milan to Naples with a length of about 800 km. This motorway can be considered representative because it passes through some of Italy's most important cities and regions and may represent the backbone of Italy. A useful model for defining the optimal location of electric vehicle charging stations is presented within the paper. Starting with the data on the average daily traffic flows passing through the main nodes of the motorways section, the demand for the potential vehicles needed to define the number and dimension of charging stations and provide an adequate supply is estimated. The analysis was performed considering five-time horizons (year 2022 to year 2025) and four Scenarios involving the installation of 4, 8, 16, and 32 Charging Stations (CSs) in each service area, respectively. [ABSTRACT FROM AUTHOR]

Low-carbon travel is considered as one of the most important strategies to reduce transportation carbon emissions, and its success is decided by the active participation of residents. Based on the theory of planned behavior (TPB) and Attitude-Behavior-Context theory (ABC), this study explores the influencing factors and formation paths of individual low-carbon travel behavior, and analyzes low-carbon travel behavior regarding both daily commuting from residence and tourism destinations. This study collects a sample of 506 respondents and uses Mplus 8.0 to examine the hypotheses. Empirical research results indicate that: (1) A certain gap exists in the individuals' low-carbon travel behavior between daily residence and tourism destination. Differences exist in direct effects, mediating effects and moderating effects. (2) Low-carbon travel behavioral intention plays a significant mediating role in both daily residence and tourism destination, especially the former. Regarding daily residence, individuals' attitude, subjective norms and perceived behavioral control have a positive effect on behavior through behavioral intention. Regarding tourism destination, only the attitude-low-carbon travel behavioral intention-behavior path is significant. (3) Situational factors play a significant positive moderating effect on the relationship between low-carbon travel behavioral intention and behavior, especially in tourism destination. This study reveals the internal mechanism of individuals' low-carbon travel behavior and the differences between travel in daily life and tourism, helping to deepen understanding of individuals' low-carbon travel behavior and providing guidance for promoting individuals' low-carbon travel. [ABSTRACT FROM AUTHOR]

The article concerns the recognition of the impact of the COVID-19 pandemic, transport accessibility, and accommodation availability on the energy intensity of domestic travel by tourists using public transport in spatial and dynamic relations. The article formulated five research questions: (1) Does the improvement of transport accessibility reduce the energy intensity of public tourist transport? (2) Does the improvement of accommodation availability affect the reduction of the energy intensity of domestic tourist trips of Polish residents? (3) Has COVID-19 significantly changed the energy intensity of public tourist transport? (4) Are there any spatial effects of energy intensity of domestic tourist trips of Polish inhabitants resulting from the flow of tourists between regions (voivodeships) of Poland? (5) What would be the path of energy intensity patterns of public tourist transport if fortuitous events did not occur? The study covered 16 Polish voivodeships in 2017–2021. A comprehensive approach was used, combining exploratory analysis of spatial data with regional econometrics, spatial statistics, and spatial econometrics (gravitational model of spatial convergence of energy intensity of public transport of tourists). It has been verified that the energy intensity of domestic tourist travel by public transport is the most sensitive to the effects of the COVID-19 pandemic and the most flexible to changes in transport accessibility. It is less sensitive to changes in accommodation availability. The occurrence of spatial convergence, i.e., the blurring of differences in energy intensity patterns between the analyzed voivodeships, was also identified. An increase in energy intensity in voivodeships defined as neighboring voivodeships by 1% will result in an increase in energy intensity in the i-th voivodeship by 0.2688% on average, which results from the spatial effects of changes in mobility and tourist flows (tourism). Consumption patterns shaped in previous periods also have a significant impact on energy intensity. [ABSTRACT FROM AUTHOR]

Along with reducing traffic congestion, electric car-sharing (ECS) can also solve travel demand, utilize idle resources, and enhance forms of transportation. Accordingly, university students are identified in Guangzhou, China as a promising customer group for ECS companies. Although university students in Guangzhou, China are unique in the context of ECS, few researchers have studied the factors that influence their willingness to use such services. Hence, this paper investigates the key determinants that affect university students' behavioral intention (BI) to use ECS in Guangzhou, China. Based on an extension of the unified theory of acceptance and use of technology (UTAUT), this paper examines the effects of the constructs on BI to use ECS and the moderating role of trust in ECS. Based on results from a questionnaire of 486 university students in Guangzhou, China, conditional value (CV) was the most critical driver of BI, followed by personal attitude (PA) and sustainability (SUST). The moderating analysis showed that taking gender, education, and driving experience of university students as control variables, trust was found to have a significant positive moderating impact on the relationship between PA and BI to use ECS, and a significant negative moderating effect of trust on the relationship between CV and BI to use ECS. The implications of these findings are discussed. [ABSTRACT FROM AUTHOR]

In the last decade, in Europe and the US, carsharing has become a mainstream transportation mode offering a sustainable solution to serious urban problems such as pollution, economic crisis, congestion, and parking. In Greece, carsharing is currently entering its commercial phase. Planners and providers strive to gain an insight into the factors influencing the use of carsharing to effectively implement carsharing systems (CSS). In this context, understanding the motives and usage conditions are considered necessary. Based on a qualitative analysis (semi-constructed interviews, n = 52), this paper identifies motivational patterns as well as personal characteristics of potential users that can be further explored through quantitative research methods. During the data analysis process, participants' responses were classified into categories that revealed not only the factors that motivated them but also unveiled the challenges they face when utilizing carsharing schemes. These factors were the following: familiarity, comfort, mindset, everyday life, usability, and economy. Next, these factors were analyzed further based on the personal characteristics of the respondents preparing the ground for quantitative research in future research initiatives. Notably, the present findings could be beneficial to operators, policymakers, and stakeholders endeavoring to appraise shared mobility schemes in Greece and Mediterranean countries in general. [ABSTRACT FROM AUTHOR]

Tourism transport may lead to significant air emissions and congestion problems on road networks. This is particularly troublesome for nature-based tourism destinations, as they often are in rural areas with low transportation capacities and vulnerable nature. Tourism transport systems are poorly understood, especially multi-modal systems with land and sea dynamics. In this article, we propose a multi-modal transport model that integrates traffic both at land and sea generated by tourism. The model was built on data from an in-situ questionnaire and validated with traffic counts and video recordings for the Geiranger fjord UNESCO world heritage site in Norway. Following a parliament decision to eliminate emissions from sea traffic, four emission reduction scenarios were explored. Results show that cruise-generated tourist buses may significantly contribute to air emissions and the formation of road congestion and emphasize the necessity of having a holistic approach in analyzing consequences of emission reduction policies for tourism transport. The model may be used in transportation planning and policymaking to assess alternative pathways to sustainable tourism transport. [ABSTRACT FROM AUTHOR]

Background: Shifting cargo from roads to eco-friendly inland waterway transport (IWT) is an important step towards reaching the decarbonization goals defined by the European Green Deal. The rehabilitation of nautical bottlenecks is essential to reach the fairway depth which is needed to allow a competitive transport on inland waterways. Aim: The goal of this paper is to (1) identify key performance indicators (KPI) associated with nautical bottlenecks caused by insufficient maintenance, (2) understand the effects of resolving nautical bottlenecks on the identified KPIs and (3) develop a conceptual framework. Methods: To develop the conceptual framework, we carried out a systematic literature review. We analysed the identified literature using qualitative content analysis and thus, derived relevant KPIs and their interdependencies. Findings: Ten KPIs were identified, which could be clustered as being either IWT-related, market-related or location-related. One example for an IWT-related KPI is the vessel draft, while market-related KPIs are e.g., referring to the KPI modal share and location-related KPIs to other KPIs such as fairway depth. Contribution: The conceptual framework visualizes the interdependencies between the KPIs and facilitates further research in this field, i.e., the development of a method for the evaluation of economic benefits of resolving nautical bottlenecks on inland waterways. A scientific method that allows the economic evaluation of resolving nautical bottlenecks it is essential to demonstrates the gain in quantitative net benefit if water levels are sufficient. A quantification of the net benefit serves as a motivator to intensify maintenance work on nautical bottlenecks and to facilitate decision-making regarding infrastructure projects. [ABSTRACT FROM AUTHOR]

As thresholds to cities, public spaces adjacent to schools play an important role in children's everyday mobilities, potentially shaping their future mobility habits and affective experiences. The purpose of this paper is to investigate the urban design conditions of such spaces, defined as "school squares", and, with the aid of affordance theory, to analyze spatial features and characteristics that might encourage or hinder active and sustainable mobility practices. In the first part of the paper, we define sustainable mobility, conduct a literature review on affective responses to the urban environment, and discuss active school travel (AST) in relation to the design of school squares. By focusing on 416 primary and lower secondary schools in the metropolitan area of Milan, we present an assessment method that is composed of on-desk and on-site surveys. In particular, Phase 1 defines the type of school squares, Phase 2 investigates physical affordances (spatial features and characteristics that directly influence active mobility practices, such as bicycle racks, protective barriers, benches, and parked cars), and Phase 3 discusses symbolic affordances (elements and characteristics that might induce different affective responses to a school square with regard to active mobility, such as bicycle racks, parked cars, greenery, and dustbins). The results indicate that in most cases school squares are characterized by typological confusion that has nothing to do with the school environment: narrow sidewalks, disorder, and low levels of safety. In order to promote active and sustainable mobility choices and enhance children's mobile experiences, it is necessary to address the aforementioned features. The ultimate goal of this paper is to provide insights for developing an urban regeneration framework that considers school squares a safe context and a starting point from which to perform sustainable mobility practices. [ABSTRACT FROM AUTHOR]

The deployment of automated vehicles (AVs) has the potential to disrupt and fundamentally transform urban transportation. As their implementation becomes imminent on cities' streets, it is of great concern that no comprehensive strategies have been formulated to effectively manage and mitigate their potential negative impacts, particularly with respect to the components of the do no significant harm (DNSH) framework recently introduced in the EU taxonomy. The methodology employed comprises three steps: (i) An extensive literature review on the impact of AVs on the DNSH components; (ii) exploration of designing a coherent pro-active vision by integrating measures identified in the literature as key elements to mitigate the harm; and (iii) an interdisciplinary focus group (FG) to verify whether the impacts of AVs and potential mitigation measures for Bucharest are similar to those identified by the literature and integrated into the pro-active vision. The results suggest that while there are commonalities, variations exist in focus and perspective, underscoring the necessity of examining the mitigation measures encompassed in the vision through additional focus groups conducted in different cities. [ABSTRACT FROM AUTHOR]

Bilingualism is a quintessential feature of being Maltese, as speaking multiple languages is an integral part of the island's culture and history of foreign occupation and colonisation. Bilingual identities are shaped by language acquisition and socialisation, and educators construct their own linguistic identities and pedagogies through personal, educational and professional experiences. Maltese teachers believe that they organically use fluid language practices such as code-switching and translanguaging in their classrooms; however, they are uncertain about the benefits of these practices, and how they can utilise them in a structured manner, especially in view of the increase in linguistically diverse classrooms as a result of recent demographic shifts. This paper focuses on the way that Malta's socio-cultural context shapes teachers' linguistic identities, and how this may in turn impact their pedagogy. This study also supports previous research advocating the use of hybridised language practices as the way forward within linguistically diverse classrooms. [ABSTRACT FROM AUTHOR]

The 15-minute city aims to decentralize the urban economic poles to provide local services to its entire population. The objective of this research is to geographically determine the economic poles in an intermediate Latin American city and evaluate their geospatial coverage. This research develops a geographic accessibility model to analyze the spatio-temporal distribution of the economic poles, considering the socioeconomic stratum of households in Manizales (Colombia). Moreover, we apply a spatial regression model of pedestrian trips. Results show that proximity to urban economic poles is directly correlate with pedestrian trips. In Manizales, only 35.8% of the population reaches its closest economic pole within a 15-minute walk; moreover, accessibility inequities mainly affecting lower-income families were detected. The 15-minute city approach poses a high potential to contribute to urban spatial justice to the extent that urban planners facilitate the growth of economic activities and services in neighborhoods, with special attention to the less privileged. [ABSTRACT FROM AUTHOR]

Demand responsive transit (DRT) echoes the new requirements of modern travel on flexibility and carbon reduction, as well as achieving a better match between demand and supply. However, many DRTs still failed. An important step named adaptability analysis helps to understand the context, desirability, and feasibility of introducing DRT. An adaptability analysis includes three sub-questions. Question 1 focuses on policy, regulation, funding, and technologies. Question 2 looks at the interactions of travel demand with operation parameters such as fare and fleet size. Question 3 tries to figure out the impacts of DRT on mobility, society, and the environment. To answer Question 1, macro-level methods collect information and generalise from empirical knowledge, including experience and barriers from real-world operation cases. To answer Question 2, meso-level methods determine the operation mode of DRT by quantifying related factors and establishing evaluation models or boundary condition decision models. To answer Question 3, micro-level methods use microscopic models for simulating the interaction between passengers and vehicles under different scenarios. This paper further discusses the advantages, disadvantages, and future directions of adaptability analysis methods of DRT. Overall, DRT presents great potential and future adaptability analysis should be developed by considering new trends in DRT and more complex and practical-oriented scenarios. [ABSTRACT FROM AUTHOR]

This research investigates the socioeconomic and travel characteristics of student transit users in comparison to other young adults and quantifies behavioral differences in public transit access between these two population groups. Using data from a 2015 system-wide on-board survey in the Denver-Aurora region, CO, we seek to understand whether college and university students make more environmentally sustainable choices when accessing bus and light rail transit as well as identify the determinants of their choices. Our results indicate that student transit riders live in larger households with more vehicles per household member and are located substantially farther from the city center and the light rail compared to other young adults. The majority of student light rail users drive alone to light rail stations and typically do not park at the station that is the closest to their home. On the other hand, most other young adults walk to light rail stations. We also find that travel time and vehicle ownership per household member have a significantly lower impact on student choices. The identified travel differences and behavioral variations between the two population groups may be associated with the lack of affordable housing for students in the central and transit-rich neighborhoods of large metropolitan areas. [ABSTRACT FROM AUTHOR]

Background: People invest hours of their working day to pay for their vehicle. Is this a worthwhile use of their time? Wouldn't public transport be a more economical solution for those on low income? Which demographic group typically chooses the most effective mode of transport? Aim: The two studies presented in this paper answer those fundamental questions based on the effective speed concept. This is calculated by dividing the distance travelled by time (i.e., minutes spent travelling and earning the money to afford it). Methodology: A digital model of the residents in Berlin is created to calculate the 'effective speed' for everyone. In the second study, based on a survey of residents in New York City, the best mode of transport for each respondent based on their effective speed has been identified and compared to the mode chosen. Results: The results of the Berlin case study show that the mode share for cars would be less than 6% if people choose the mode of transport with the highest effective speed. A similar picture is seen in NYC. Factors that significantly affect whether people who should use public transport, do so, include: age, gender, education, place of work or home. [ABSTRACT FROM AUTHOR]

Multi‐actor multi‐criteria analysis is a group decision‐making framework that allows multiple stakeholder groups to be involved in the decision‐making process, facilitating the understanding of the points of consensus and conflict among the stakeholder groups. Carefully selecting suitable criteria is important as they illustrate the possibly divergent priorities of the respective stakeholder group, and overlooking important criteria can lead to erroneous outcomes. Furthermore, the number of criteria needs specific consideration, as a too large number poses problems for human cognition, but a too small number inaccurately represents the stakeholder's interest. In stakeholder groups with many members, such as those representing citizens, defining a criteria set is likely to be even more complicated. Currently, there is no formal guideline to assist facilitators in defining these criteria sets. In this paper, we propose a novel framework for criteria preprocessing with stakeholder involvement that includes a guideline for firstly selecting criteria into a tentative list and secondly selecting the final criteria set. It provides a procedure on how to determine criteria considering the priorities of stakeholder groups with regard to the context. As a final step, we propose a mathematical model for selecting a number of criteria that are both cognitively manageable and representative for the participants' priorities. Based on the principles of the Pareto analysis, as well as the cognitive judgment theory "magic number seven plus or minus two", a recommendation list of the criteria is generated. It prevents key criteria from being omitted while at the same time limiting the overall number of criteria. This framework is applied to a social decision‐making case for construction logistics, and the results are compared with the conventional approach of criteria definition. [ABSTRACT FROM AUTHOR]

This study provides a comprehensive review of the significant elements in sustainable transportation systems with shared mobility. The main subsets of shared mobility includes ridesharing, carsharing, shared micromobility, on-demand ride services, and shared autonomous vehicles (SAVs). This paper revisits the related studies in the last decade since shared mobility spread via the emergence of smartphones and numerous applications. A framework is proposed to describe the shared mobility systems and understand the interactions among various elements in shared mobility systems, such as the supply and demand relationship between users and enterprises. Based on this framework, many fundamental research problems of shared mobility systems are summarized to cover travel behavior, enterprise supply, government policy, and sustainability. With the sustainability theme of shared mobility, we review the literature on the impacts of shared mobility on transportation sustainability. It is discovered that shared mobility has many advantages and improves urban transportation systems in many aspects, but these benefits vary with travel behavior and enterprise supply. We also discuss how government policies regulate travel behavior and enterprise supply in the sustainable development of urban transportation systems. [ABSTRACT FROM AUTHOR]

Through an evolution from an emerging marketing narrative to a geographical fact around the globe, smart city is increasingly understood as a city's effort to make itself smart. There seems no single city in the world to be commonly recognized as a real smart city yet, albeit many cities have already tried hard in this missionary commitment. Yet some common features can still be seen and identified, particularly from the urban governance perspective. This article explores the practice of smart city construction in China through a lens of governance by observing the interactive involvement of key stakeholders in the process. By taking three cities (Hangzhou, Wuhan, and Shanghai) in China as study cases, a conceptual framework is established in which three sets of actors, i.e., ICT-related enterprises, government, and civil society, and, accordingly, three types of approaches, i.e., ICT-led, planning-led, and place-making-and-community-oriented, are identified. It is found that the evolution of smart city construction rather follows a nonlinear trajectory and is very dependent on whether or not the primary actors and related stakeholders can form an affirmative acting power in triggering the city's implementation. In other words, there is no "one-size-fits-all" approach to smart city construction. Each city may have its specialization in smartness based on awareness of and respecting its unique existing setting. The empirical study also shows that smart city construction tends to be converged in recognition that the core of smart city is not the smartness of technology but the smartness of all institutions and people enabled to utilize smart tools properly and efficiently in pursuit of people's well-being, institutional capacity building, and better spatial arrangement towards a sustainable, resilient, and inclusive city in and for the future. From a geographical perspective, that is how to build a smart urban space to make the city a better place to not just accommodate but facilitate and meet people's increasing demand for a better life in their living places. [ABSTRACT FROM AUTHOR]

Traffic congestion and unsustainable mobility patterns represent a severe issue for most Brazilian cities, with traditional approaches often proving to be scarcely effective in tackling the problem. We argue that a crucial hindrance is represented by the limited attention devoted to "the commuter perspective": only a deeper understanding of the motives behind mobility-related behaviors of citizens would enable policy makers to implement sound mobility plans. We performed an empirical investigation on residents of the city of Florianópolis (n = 436), analyzing the determinants of modal choice. Results confirm the pivotal role exerted by habits, and the willingness of respondents to opt for sustainable transport modes; a peculiar finding is represented by the marginality of social and environmental aspects in shaping commuters' behaviors, and the perceived lack of convenient alternatives that is yet hindering a broad shift which is seen as necessary. Based on the evidence emerging from the study, we provide a contribution to the debate by discussing possible lines of action and policy options that could be implemented. [ABSTRACT FROM AUTHOR]

This study investigates the antecedents of the intention to switch to e-grocery shopping during the COVID-19 pandemic, which is critical in recommending that e-grocery shopping service providers improve their competitiveness by responding to customer expectations. This study proposes a push–pull–mooring framework to describe the influence of dissatisfaction on the physical market, the attractiveness of e-grocery, and switching costs as factors that drive switching intentions. This study surveyed 252 Indonesians aware of the existence of an e-grocery mobile application, and applied structural equation modeling as an analytical method to explain causal relationships between variables thought to influence switching intentions to e-grocery shopping. The results showed that the attractiveness of e-grocery had a significant effect on switching intention. Likewise, switching costs ultimately drive customer intention to switch to e-grocery shopping. However, dissatisfaction is not a driving factor directly affecting switching costs and intentions. Finally, e-grocery services cannot replace the local tradition of Indonesian people who prefer to shop for groceries in physical markets. Nevertheless, these findings provide theoretical and practical contributions to retail grocery businesses that have integrated conventional and digital services as a future strategy that drives business sustainability. [ABSTRACT FROM AUTHOR]

Traditionally bilingual Maltese school populations are increasingly linguistically diverse, due to intensified migration flows. To shed light on central issues to be addressed by policy makers, school administrators, researchers and teacher trainers, collective beliefs of Maltese primary school teachers regarding their conceptual understanding and pedagogical actions concerning multilingualism are investigated. Through the application of Q methodology and focus group interviews, data from twenty-one in-service teachers from six different colleges were collected. Using inverted factor analysis, three factors were extracted for each of the components (understanding and pedagogy). Detailed narratives for each group of collective teachers' beliefs were described and supplemented with teachers' validating comments. Findings indicate that having a positive understanding of multilingualism does not necessarily imply positive pedagogical beliefs and vice versa. In Malta's inherently bilingual education system, teachers tend to accept and welcome children's languages in their classrooms and encourage the learning of additional languages. However, possibly due to a lack of adequate training on the subject, there is scepticism regarding whether and how to effectively draw on multilingualism in the classroom. Additionally, the need arises for more teacher autonomy and agency to make decisions regarding classroom language practices, and for a more comprehensive Maltese national language education policy. [ABSTRACT FROM AUTHOR]

European, national, and regional policies have promoted slow routes in recent decades. This paper aims to define a multi-scale method to use these routes to promote the identities of rural places. The method develops (i) a GIS-based network analysis to define the boundaries of the service area of the route and then (ii) a participatory strategy to promote its rural identity. Furthermore, this paper studies the quality criteria for slow European routes (iii) to define quality criteria specifically for rural slow routes and to connect the case study to the broader European network. The results show that the European certification standard of EuroVelo is a valid document to evaluate the quality of slow routes in rural contexts. The case study is a slow route along the Trasimeno lake (Italy), 61 km long, called the Trasimeno ring. The service area of the route has a surface of 325 km2 and is defined as the surface that can be reached with detours from the route not exceeding 5 km along rural roads with low traffic (max 2000 v/d) and gentle slopes (maximum gradient of 15% and a cumulative elevation change for every kilometer of the road lower than 50 m). The participatory process was developed for one municipality (15.35% of the service area) with 326 km of rural streets and 35 activities linked to agriculture. In total, 80% of the rural stakeholders participated in building an online collaborative map to promote the area. The results show that rural stakeholders evaluate collaborative maps as an effective strategy for encouraging tourists and inhabitants to discover, use and respect rural place identities. [ABSTRACT FROM AUTHOR]

Globalisation, urbanisation and the recent COVID-19 pandemic has been raising the demand for logistic activities. This change is affecting the entire supply chain, especially the last-mile step. This step is considered the most expensive and ineffective part of the supply chain and a source of negative economic, environmental and social externalities. This article aims to characterise the sustainable urban last-mile logistics research field through a systematic literature review (N = 102). This wide and holistic review was organised into six thematic clusters that identified the main concepts addressed in the different areas of the last-mile research and the existence of 14 solutions, grouped into three types (vehicular, operational, and organisational solutions). The major findings are that there are no ideal last-mile solutions as their limitations should be further explored by considering the so-called "triple bottom line of sustainability"; the integration and combination of multiple last-mile alternative concepts; or by establishing collaboration schemes that minimise the stakeholders' conflicting interests. [ABSTRACT FROM AUTHOR]

The main purpose of the paper is to provide an overview of methods used to research the relationship between transport infrastructure investments and regional development, with a focus on wider impacts both in the traditional economic context (wider economic impacts or WEIs) and—which is a methodological novelty proposed by this paper—in the spatial context (wider spatial impacts or WSIs). In terms of methodology, research may be conducted using the following methods: cost benefit analysis (CBA) and multi-criteria analysis (MCA), accessibility and potential models, econometric production function estimates, regional modelling, trade and input-output (IO) modelling, Land Use-Transport Interaction (LUTI) or spatial computable general equilibrium (SCGE) models. In the European Union, approaches based on cost-benefit analysis (CBA), or possibly multi-criteria analysis (MCA), continue to prevail. Notwithstanding the availability of a wide range of methods for quantifying socio-economic impacts, the European Union recommends that wider economic impacts at the regional and national levels be assessed by means of qualitative approaches. This being the case, it is recommendable for the European Commission to take broad-ranging action towards ensuring that the effects of transport infrastructure investments are assessed by means of a broader range of approaches. [ABSTRACT FROM AUTHOR]

The world is entering an era of awareness of the preservation of natural energy sustainability. Therefore, electric vehicles (EVs) have become a popular alternative in today's transportation system as they have zero emissions, save energy, and reduce pollution. One of the most significant problems with EVs is an inadequate charging infrastructure and spatially and temporally uneven charging demands. As such, EV drivers in many large cities frequently struggle to find suitable charging locations. Furthermore, the recent emergence of deep reinforcement learning has shown great promise for improving the charging experience in a variety of ways over the long term. In this paper, a Spatio-Temporal Multi-Agent Reinforcement Learning (STMARL) (Master) framework is proposed for intelligently public-accessible charging stations, taking into account several long-term spatio-temporal parameters. When compared to a random selection recommendation system, the experimental results demonstrate that an STMARL (master) framework has a long-term goal of lowering the overall charging wait time (CWT), average charging price (CP), and charging failure rate (CFR) of EVs. [ABSTRACT FROM AUTHOR]

This paper tests a combination of methods that allows for the optimization of a mobility network through the multimodal interchange between fast and slow routes. These routes contribute to mending the relationship between the existing infrastructural networks and the places of interest in the landscape while respecting morphological adaptability. The case study that generated the research question explained above is the Costa dei Trabucchi in Abruzzo, Italy. The choice of a single paradigmatic case study to evaluate the method is based on the need to analyse an edge context with very scarce data, except for the coast. The advantage of this method is the efficiency based on three main conditions: overcoming limitations due to data scarcity, the use of open-source data and the multiscalarity of analyses. The result of this research work is the creation of a useful strategy to identify the most suitable routes in terms of spatial quality and walkability/cyclability. The case study is formed by the territories crossed by a railway line that has recently been decommissioned. The displacement of a railway line creates opportunities to improve the quality and use of the territory locally, with a natural evolution of the track in a greenway, and at the territorial level because it generates a network of better multimodal and sustainable mobility solutions inside and between the surrounding areas. [ABSTRACT FROM AUTHOR]

This paper presents the results of a study on city logistics in the urban tourist area as a research field. Both disciplines are developing intensively, and the research results have many implications for business practices, in particular for alternative fuel for transport, energy savings, waste management, and creating new business models that meet the challenges of modern society. In the era of decarbonisation, city logistics and tourism must define new rules for coexistence. The identified dominant subfields (tourism, logistics, urban transport, urban development and planning, new technologies, and sustainable development) and the links between them have pointed to some research gaps and suggested a direction for further research. The research procedure applied, adapted to the overall goal of the study, consists of an analysis of publications in the Scopus database (February 2022). A keyword co-occurrence network for the research field of city logistics in the urban tourist area is constructed with the use of the VOSviewer software. It follows from the analysis that the research area combining city logistics and city tourism remains relatively unexplored. Forming only a small part of research into city logistics, it has unexplored research potential. The research area under analysis is interdisciplinary in nature. [ABSTRACT FROM AUTHOR]

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Urbanization is a worldwide process that recently has culminated in wider use of the subsurface, determining a significant interaction between groundwater and underground infrastructures. This can result in infiltrations, corrosion, and stability issues for the subsurface elements. Numerical models are the most applied tools to manage these situations. Using MODFLOW-USG and combining the use of Wall (HFB) and DRN packages, this study aimed at simulating underground infrastructures (i.e., subway lines and public car parks) and quantifying their infiltrations. This issue has been deeply investigated to evaluate water inrush during tunnel construction, but problems also occur with regard to the operation of tunnels. The methodology has involved developing a steady-state groundwater flow model, calibrated against a maximum groundwater condition, for the western portion of Milan city (Northern Italy, Lombardy Region). Overall findings pointed out that the most impacted areas are sections of subway tunnels already identified as submerged. This spatial coherence with historical information could act both as validation of the model and a step forward, as infiltrations resulting from an interaction with the water table were quantified. The methodology allowed for the improvement of the urban conceptual model and could support the stakeholders in adopting proper measures to manage the interactions between groundwater and the underground infrastructures. [ABSTRACT FROM AUTHOR]